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Characterizing barriers to closing cross-institutional referral loops: Workflow and information flow analysis
Cassandra McCormack1, April Savoy2, Anna Mathew3
1Purdue University School of Industrial Engineering, West Lafayette, IN, USA.
Referral process breakdowns hinder care coordination. This study maps clinic workflows and identifies barriers to closing the referral loop, ensuring timely information exchange between primary care and specialists.
Area of Science:
- Health Services Research
- Clinical Informatics
- Healthcare Management
Background:
- The specialty referral process involves primary care clinicians referring patients to specialists, necessitating robust care coordination and health information exchange.
- Breakdowns in workflow and information flow frequently impede the "closing of the referral loop," delaying or preventing referrers from receiving essential consultant visit notes, especially during cross-institutional referrals.
Purpose of the Study:
- To describe and map the existing specialty referral process within clinical settings.
- To identify and characterize the specific work system barriers that negatively affect the performance of the referral process.
Main Methods:
- Qualitative study involving interviews with referring clinicians and specialist consultants.
- Exploration of perceived workflows, identified barriers, and reported clinical outcomes.
- Workflow analysis informed by direct stakeholder input.
Main Results:
- The study successfully mapped the referral process as it currently operates in clinics.
- Key work system barriers impacting referral performance were identified and characterized.
- Stakeholder interviews provided insights into workflow inefficiencies and information flow challenges.
Conclusions:
- Understanding and addressing identified work system barriers is crucial for improving the specialty referral process.
- Effective care coordination and health information exchange are vital for closing the referral loop.
- Workflow analysis and stakeholder engagement are essential for optimizing patient care transitions.
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